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Eigen-basis analysis of expected modulus perturbation for constrained signal design

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
Radar waveforms typically require a constant modulus (constant amplitude) transmit signal to efficiently exploit the available transmit power. However, recent hardware advances and the capability for arbitrary (phase and amplitude) designed waveforms have forced a re-examination of this assumption to quantify the impact of modulus perturbation from ...
Aaron M. Jones   +2 more
openaire   +1 more source

Evaluation of modulus-constrained matched illumination waveforms for target identification

2010 IEEE Radar Conference, 2010
In prior work, we have applied matched illumination strategies to target identification by a closed-loop radar system. In the closed-loop system, multiple waveforms are transmitted in succession, but each is customized based on the returns from prior transmissions.
Junhyeong Bae, Nathan A. Goodman
openaire   +1 more source

Optimizing Constrained-Modulus Barrett Multiplier for Power and Flexibility

2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC), 2023
Deepraj Soni   +3 more
openaire   +1 more source

A constrained constant modulus algorithm based on uniform linear arrays

2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP), 2010
A novel constant modulus algorithm (CMA) is proposed based on a uniformly spaced linear array by constraining its weight vector to a specific conjugate symmetric form. The constraint is derived from the beamformer with an optimum output signal to interference plus noise ratio (SINR).
null Lei Zhang   +2 more
openaire   +1 more source

Performance analysis of RLS linearly constrained constant modulus algorithm for multiuser detection

Signal Processing, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xin Wang, Guangzeng Feng
openaire   +1 more source

Modulus-based iterative methods for constrained lp-lq minimization

2020
The need to solve discrete ill-posed problems arises in many areas of science and engineering. Solutions of these problems, if they exist, are very sensitive to perturbations in the available data. Regularization replaces the original problem by a nearby regularized problem, whose solution is less sensitive to the error in the data.
A Buccini, M Pasha, L Reichel
openaire   +1 more source

Large Scale Constrained Modulus Test: Constrained Modulus of Crushed Rock Test Results

Geo-Frontiers 2011, 2011
I. Claire S. Gemperline   +1 more
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The determination of the bulk modulus in a constrained solid

Journal of Polymer Science: Polymer Physics Edition, 1974
I. Gilmour, A. Trainor, R. N. Haward
openaire   +1 more source

A Reduced-Dimension CKF-Based Constrained Constant Modulus Beamformer

2023 IEEE 23rd International Conference on Communication Technology (ICCT), 2023
openaire   +1 more source

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